Data Engineer

Compensation

$

Hours Per Week

40

Number Of Positions

1

Job Description

Critical role designing, developing and maintaining scalable data pipelines, data sets, and systems for the company’s data infrastructure. Will be collaborating with stakeholders to understand data requirements; Develop ETL (Extract, Transform, Load) processes to change raw data into usable formats for analysis, use and cost effectiveness utilizing techniques such as partitioning, indexing, and caching; Design and implement data models to support the business analytical and reporting needs; ensure data integrity, consistency, and performance and identify errors and performance issues; perform data quality checks for accuracy and consistency of data across systems and platforms; Work closely with business analysts/software engineers to understand their data needs and provide technical expertise and support. Document data pipelines, processes, and best practices for knowledge sharing and future reference; Identify and resolve issues to ensure uninterrupted data flow and availability. Relocation/ telecommuting may be required plus travel to various unanticipated client locations within the United States for short and long term assignments.

Languages, skills and tools: Any suitable combination of the following tools: SQL, SAS, Python, PyCharm, Hive, Tableau, GitHub, Jira, MySQL, Oracle, PL/SQL, MongoDB, Informatica ETL, AWS, Databricks, Azure Data Factory, Apache-Airflow, Flask, Docker, Kubernetes, Jenkins, Splunk, Snowflake, SAS, Google Analytics, Supervised and Unsupervised Machine Learning Algorithms, K-Means, SVM, Statistics, KNN, Time Series Forecasting, Survival Analysis, ETL, Business Intelligence, Text Mining, Clustering, Cross-Validation, Support Vector Machine, Decision Tree, Random Forest, A/B Testing, Market Basket Analysis, Linear Discriminant Analysis, Gradient Boosting, Bagging, Natural Language Processing, Sentimental Analysis, Data Modeling, PCA

Education:

Masters degree in Computer Science/Computer Applications/Business Analytics/Technology/Engineering (Mechanical/ I.T./Electrical). Will accept Bachelors degree in Computer Science/Computer Applications/Business Analytics/Technology/Engineering (Mechanical/ I.T./Electrical) plus five (5) years of progressive experience in related fields in lieu of Masters Degree. Will accept foreign education equivalent.

Place of Work

Hybrid

Requisition ID

DIGI-DE - SRJ

Application Email

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